Efficient ways to impute incomplete panel data

Kristian Kleinke, Mark Stemmler, Jost Reinecke, Friedrich Lösel

Research output: Contribution to journalReview articlepeer-review

17 Scopus citations


We find that existing multiple imputation procedures that are currently implemented in major statistical packages and that are available to the wide majority of data analysts are limited with regard to handling incomplete panel data. We review various missing data methods that we deem useful for the analysis of incomplete panel data and discuss, how some of the shortcomings of existing procedures can be overcome. In a simulation study based on real panel data, we illustrate these procedures' quality and outline fruitful avenues of future research.

Original languageEnglish (US)
Pages (from-to)351-373
Number of pages23
JournalAStA Advances in Statistical Analysis
Issue number4
StatePublished - Dec 2011

All Science Journal Classification (ASJC) codes

  • Analysis
  • Statistics and Probability
  • Modeling and Simulation
  • Social Sciences (miscellaneous)
  • Economics and Econometrics
  • Applied Mathematics


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